Journal of Electrical Engineering and Electronic TechnologyISSN: 2325-9833

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Tomoharu Yokoyama Author

mutsu@rins.ryukoku.ac.jp 077-543-7407

Subjects of specialization
Cellular neural network, Processing element

Affiliation
Graduate School of Information Science, Nara Institute of Science and Technology, Ikoma, 630-0192, Japan

Biography

We have succeeded in simplification of processing elements in cellular neural network. First, we reduce a neuron to two-inverter two-switch circuit, two-inverter one-switch circuit, or two-inverter circuit. Next, we reduce a synapse only to one variable resistor or one variable capacitor. Finally, we confirm the correct operation of the cellular neural network by learning of arbitrary logics. These results will be theoretical bases to realize ultra-large scale integration for brain-type integrated circuits.

Publications

Research Article Subscription

Simplification of Processing Elements in Cellular Neural Network

Author(s):

Mutsumi Kimura,Hiroki Nakanishi, Nao Nakamura, Tomoharu Yokoyama, Tokiyoshi Matsuda, Tomoya Kameda and Yasuhiko Nakashima

We have succeeded in simplification of processing elements in cellular neural network. First, we reduce a neuron to two-inverter two-switch circuit, two-inverter one-switch circuit, or two-inverter circuit. Next, we reduce a synapse only to one variable resistor or one variable capacitor. Finally, we confirm the correct operation of the cellular neural network by learning of arbitrary logics. These results will be theoretical bases to realize ultra-large scale integration for brain-type integrated circuits.

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DOI: 10.4172/2325-9833.1000137

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